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Sudo Y, Ota J, Takamura T, Kamashita R, Hamatani S, Numata N, Chhatkuli RB, Yoshida T, Takahashi J, Kitagawa H, Matsumoto K, Masuda Y, Nakazato M, Sato Y, Hamamoto Y, Shoji T, Muratsubaki T, Sugiura M, Fukudo S, Kawabata M, Sunada M, Noda T, Tose K, Isobe M, Kodama N, Kakeda S, Takahashi M, Takakura S, Gondo M, Yoshihara K, Moriguchi Y, Shimizu E, Sekiguchi A, Hirano Y. Comprehensive elucidation of resting-state functional connectivity in anorexia nervosa by a multicenter cross-sectional study. Psychol Med 2024:1-14. [PMID: 38500410 DOI: 10.1017/s0033291724000485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
BACKGROUND Previous research on the changes in resting-state functional connectivity (rsFC) in anorexia nervosa (AN) has been limited by an insufficient sample size, which reduced the reliability of the results and made it difficult to set the whole brain as regions of interest (ROIs). METHODS We analyzed functional magnetic resonance imaging data from 114 female AN patients and 135 healthy controls (HC) and obtained self-reported psychological scales, including eating disorder examination questionnaire 6.0. One hundred sixty-four cortical, subcortical, cerebellar, and network parcellation regions were considered as ROIs. We calculated the ROI-to-ROI rsFCs and performed group comparisons. RESULTS Compared to HC, AN patients showed 12 stronger rsFCs mainly in regions containing dorsolateral prefrontal cortex (DLPFC), and 33 weaker rsFCs primarily in regions containing cerebellum, within temporal lobe, between posterior fusiform cortex and lateral part of visual network, and between anterior cingulate cortex (ACC) and thalamus (p < 0.01, false discovery rate [FDR] correction). Comparisons between AN subtypes showed that there were stronger rsFCs between right lingual gyrus and right supracalcarine cortex and between left temporal occipital fusiform cortex and medial part of visual network in the restricting type compared to the binge/purging type (p < 0.01, FDR correction). CONCLUSION Stronger rsFCs in regions containing mainly DLPFC, and weaker rsFCs in regions containing primarily cerebellum, within temporal lobe, between posterior fusiform cortex and lateral part of visual network, and between ACC and thalamus, may represent categorical diagnostic markers discriminating AN patients from HC.
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Affiliation(s)
- Yusuke Sudo
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- Department of Cognitive Behavioral Physiology, Chiba University, Chiba, Japan
- Department of Psychiatry, Chiba University Hospital, Chiba, Japan
| | - Junko Ota
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Tsunehiko Takamura
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Rio Kamashita
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Sayo Hamatani
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
- Research Center for Child Mental Development, Fukui University, Eiheizi, Japan
| | - Noriko Numata
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Ritu Bhusal Chhatkuli
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Tokiko Yoshida
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Jumpei Takahashi
- Department of Psychiatry, Chiba Aoba Municipal Hospital, Chiba, Japan
| | - Hitomi Kitagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Koji Matsumoto
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Yoshitada Masuda
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Michiko Nakazato
- Department of Psychiatry, School of Medicine, International University of Health and Welfare, Narita, Japan
| | - Yasuhiro Sato
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
| | - Yumi Hamamoto
- Department of Psychology, Northumbria University, Newcastle-upon-Tyne, UK
- Department of Human Brain Science, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Tomotaka Shoji
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
- Department of Internal Medicine, Nagamachi Hospital, Sendai, Japan
- Department of Psychosomatic Medicine, Tohoku University School of Medicine, Sendai, Japan
| | - Tomohiko Muratsubaki
- Department of Psychosomatic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Motoaki Sugiura
- Department of Human Brain Science, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
- Cognitive Sciences Lab, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shin Fukudo
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
- Department of Psychosomatic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Michiko Kawabata
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Momo Sunada
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomomi Noda
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Keima Tose
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masanori Isobe
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Naoki Kodama
- Division of Psychosomatic Medicine, Department of Neurology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Shingo Kakeda
- Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Masatoshi Takahashi
- Division of Psychosomatic Medicine, Department of Neurology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Shu Takakura
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Motoharu Gondo
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Kazufumi Yoshihara
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Yoshiya Moriguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
- Department of Sleep-Wake Disorders, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- Department of Cognitive Behavioral Physiology, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
- Center for Eating Disorder Research and Information, National Center of Neurology and Psychiatry, Kodaira, Japan
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- Applied MRI Research, Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
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Pavlova MA, Erb M, Hagberg GE, Loureiro J, Sokolov AN, Scheffler K. "Wrong Way Up": Temporal and Spatial Dynamics of the Networks for Body Motion Processing at 9.4 T. Cereb Cortex 2018; 27:5318-5330. [PMID: 28981613 DOI: 10.1093/cercor/bhx151] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Indexed: 01/17/2023] Open
Abstract
Body motion delivers a wealth of socially relevant information. Yet display inversion severely impedes biological motion (BM) processing. It is largely unknown how the brain circuits for BM are affected by display inversion. As upright and upside-down point-light BM displays are similar, we addressed this issue by using ultrahigh field functional MRI at 9.4 T providing for high sensitivity and spatial resolution. Whole-brain analysis along with exploration of the temporal dynamics of the blood-oxygen-level-dependent response reveals that in the left hemisphere, inverted BM activates anterior networks likely engaged in decision making and cognitive control, whereas readily recognizable upright BM activates posterior areas solely. In the right hemisphere, multiple networks are activated in response to upright BM as compared with scarce activation to inversion. With identical visual input with display inversion, a large-scale network in the right hemisphere is detected in perceivers who do not constantly interpret displays as shown the "wrong way up." For the first time, we uncover (1) (multi)functional involvement of each region in the networks underpinning BM processing and (2) large-scale ensembles of regions playing in unison with distinct temporal dynamics. The outcome sheds light on the neural circuits underlying BM processing as an essential part of the social brain.
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Affiliation(s)
- Marina A Pavlova
- Department of Biomedical Magnetic Resonance, Medical School, Eberhard Karls University of Tübingen.,Department of Psychiatry and Psychotherapy, Medical School, Eberhard Karls University of Tübingen
| | - Michael Erb
- Department of Biomedical Magnetic Resonance, Medical School, Eberhard Karls University of Tübingen.,High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics
| | - Gisela E Hagberg
- Department of Biomedical Magnetic Resonance, Medical School, Eberhard Karls University of Tübingen.,High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics
| | - Joana Loureiro
- Department of Biomedical Magnetic Resonance, Medical School, Eberhard Karls University of Tübingen.,High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics
| | - Alexander N Sokolov
- Women's Health Research Institute, Department of Women's Health, Medical School, Eberhard Karls University of Tübingen, Tübingen 72076, Germany
| | - Klaus Scheffler
- Department of Biomedical Magnetic Resonance, Medical School, Eberhard Karls University of Tübingen.,High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics
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